Optimization and Performance Analysis of Lathe Machine for Precision Machining

The lathe machine is a fundamental tool in modern manufacturing, enabling precise shaping and cutting of materials through turning operations. This study explores the optimization techniques and performance parameters that enhance the efficiency and accuracy of lathe machining. The study focuses on variables that have a major impact on surface finish and material removal rate, including spindle speed, feed rate, depth of cut, and tool material. Computational simulations and experimental analyses were conducted to evaluate machining performance under various conditions. The results indicate that optimized parameters lead to improved productivity and reduced tool wear. This study provides valuable insights for industries aiming to enhance machining efficiency while minimizing operational costs.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-17
DOI
https://doi.org/10.5281/zenodo.15235353
Primary Topic
Advanced machining processes and optimization
Type
article
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article

Optimization and Performance Analysis of Lathe Machine for Precision Machining

Zenodo (CERN European Organization for Nuclear Research)
Advanced machining processes and optimization
article

Optimization and Performance Analysis of Lathe Machine for Precision Machining

article en

Abstract

The lathe machine is a fundamental tool in modern manufacturing, enabling precise shaping and cutting of materials through turning operations. This study explores the optimization techniques and performance parameters that enhance the efficiency and accuracy of lathe machining. The study focuses on variables that have a major impact on surface finish and material removal rate, including spindle speed, feed rate, depth of cut, and tool material. Computational simulations and experimental analyses were conducted to evaluate machining performance under various conditions. The results indicate that optimized parameters lead to improved productivity and reduced tool wear. This study provides valuable insights for industries aiming to enhance machining efficiency while minimizing operational costs.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Advanced machining processes and optimization
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